Software
An official USGS software project is code reviewed and approved at the bureau-level for distribution.
Filter Total Items: 916
lsforce lsforce
lsforce is a Python-based single-force seismic inversion framework for massive landslides.
GSadjust GSadjust
GSadjust is the first comprehensive, publicly-available graphical interface for performing drift-correction and network adjustment for combined relative- and absolute-gravity surveys (Kennedy and others, 2021). The objective of network adjustment is to determine a single, best-fit gravity value at each station based on all available observations and their respective uncertainty...
GSadjust: a graphical user interface for processing combined relative- and absolute-gravity surveys GSadjust: a graphical user interface for processing combined relative- and absolute-gravity surveys
GSadjust is a graphical user interface for processing relative-gravity surveys. It provides an interface for data selection, drift evaluation and correction, network adjustment, for data from modern relative (Scintrex, ZLS) and absolute (Micro-g LaCoste) gravity meters.
fishStan fishStan
fishStan is an R package (R Core Team 2020) providing a collection of hierarchical Bayesian models written in the Stan language as called through RStan (Stan Development Team 2020). The package is a USGS software software release. The purpose of the package is to document these models for use in USGS projects and allow easy discrimination. The package assumes the user is familiar with R...
Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0
The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess...
Source code in R for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas associated with U.S. Geological Survey Scientific Investigations Rep Source code in R for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas associated with U.S. Geological Survey Scientific Investigations Rep
This repository contains R language source code used for creation of regional regression equations for estimation of four hydraulic properties of streams at approximate bankfull conditions for different ecoregions in Texas. This code is in support of the following study: Asquith, W.H., Gordon, J.D., and Wallace, D.S., 2020, Regional regression equations for estimation of four hydraulic...